Senior AI Engineer (Python, Django, Angular, RAG)

You will build production RAG and LLM systems that read real documents and run inside enterprise ERP and finance stacks.
This is a solo, end-to-end role. You join client calls with our project manager, design the architecture, then build the important parts yourself. Python, Django, Angular and RAG are our core stack, we cannot compromise on any of these. If one of those isn't present or barely used - this is an immediate mismatch. Please check “What we expect - Core” for more details. Fully remote, Ukraine/EU hours.

About us
Deploy Staff automates the manual work large enterprises run on: finance, operations, customer service, reporting. We build complex systems for clients in the US and UAE (currently primarily UAE), centered on production RAG and LLM workflows that read real documents and integrate with real ERP and finance systems.
Despite the name, we do not place engineers into other people’s teams. We are not an outstaff company. We own the solutions we build end to end, and so will you.

The role
Solo and end to end. You are the engineer on your projects: there is no development team, and the technical work is yours from discovery through production support.
You sit in on client calls with the project manager, understand the business problem, design the architecture, then open the codebase and build it yourself. The PM runs the relationship and the commercial side. You own the system.
Solo does not mean isolated. You have direct access to the people making decisions, and we talk architecture through with you before you commit to it. After that the code is yours to write and merge. You own the project, but our CTO/Architect is there when you want a second opinion. Part of the job is judgement about which calls are yours and which should come back to us, and we would rather be asked than surprised.
If you have spent recent years distributing work and reviewing it, this will feel like a step backwards. If you have spent them wishing there were fewer people between you and the problem, it will not.

What we expect
Our core stack is Python, Django, Angular and RAG/LLM-based workflows. That is what we need you to already be good at.
Core
• Production LLM work: RAG (retrieval design, chunking, evaluation), document processing, structured extraction or agentic workflows. Shipped and operated by you, through the parts that only show up after real users arrive
• Strong Python with Django or DRF, and PostgreSQL data models you can design and debug in production
• Angular and TypeScript. You own the frontend of what you build, so you need to be able to ship a feature through it without waiting for anyone. At least 1-2 production projects
• Advanced English (C1). You will question senior non-technical stakeholders directly and explain a decision a second way when the first one does not land
Also part of the work
You will hit all of this. We do not expect equal depth in every line, and we do expect you to pick up what you are missing.
• Celery, Redis, queues and asynchronous processing
• Enterprise integration: ERP, finance, CRM systems and their APIs
• Cloud infrastructure, deployment, observability and security. AWS, GCP, Kubernetes, Docker
• Reading an existing system before changing it, and keeping what already works

How we work
Remote, Ukraine/EU hours.
Small team, direct access to decision makers, real operational problems. You get problems to solve rather than specs to implement.

Interview process

1. Introductory interview.
2. Technical interview with us.
3. (Depending on results of technical interview) Test task.
4. Offer. Interviews are recorded and shared only within the hiring team, so decisions are made on what you actually said rather than someone’s notes.